from IPython.display import display
from bokeh.plotting import output_notebook
from bokeh.plotting import show
import geopandas as gpd
from shapely.geometry import Point
from shapely.ops import linemerge
from gdf2bokeh import Gdf2Bokeh
from osmgt import OsmGt
from graph_tool.topology import shortest_path
output_notebook()
location = "Roanne"
%%time
pois_gdf = OsmGt.pois_from_location(location).get_gdf()
display(pois_gdf.head(2))
2022-05-21 20:12:21 - OsmGtPoi - INFO : From location: Roanne 2022-05-21 20:12:21 - OsmGtPoi - INFO : Loading data... 2022-05-21 20:12:21 - OsmGtPoi - INFO : NominatimApi: Query 200:OK in 0.59 sec. 2022-05-21 20:12:23 - OsmGtPoi - INFO : OverpassApi: Query 200:OK in 1.76 sec. 2022-05-21 20:12:23 - OsmGtPoi - INFO : Formating data 2022-05-21 20:12:23 - OsmGtPoi - INFO : Prepare GeoDataframe 2022-05-21 20:12:23 - OsmGtPoi - INFO : GeoDataframe Ready
| addr:postcode | amenity | atm | change_machine | name | opening_hours | operator | operator:wikidata | operator:wikipedia | phone | ... | source:opening_hours | clothes | waste | office | second_hand | recycling:cartons | recycling:plastic_packaging | indoor | post_box:type | geometry | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 42300 | post_office | yes | yes | Roanne Principal | Mo,We-Fr 08:30-18:00; Tu 08:30-12:00,13:45-18:... | La Poste | Q373724 | fr:La Poste (entreprise française) | 3631 | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | POINT (4.07225 46.04071) |
| 1 | NaN | place_of_worship | NaN | NaN | Chapelle Jean Puy | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | POINT (4.07073 46.03766) |
2 rows × 134 columns
CPU times: user 216 ms, sys: 13 ms, total: 229 ms Wall time: 2.48 s
%%time
roads_initialized = OsmGt.roads_from_location(
location,
mode="vehicle",
additional_nodes=pois_gdf
)
roads_gdf = roads_initialized.get_gdf()
display(roads_gdf.head(2))
2022-05-21 20:12:23 - OsmGtRoads - INFO : From location: Roanne 2022-05-21 20:12:23 - OsmGtRoads - INFO : Loading data... 2022-05-21 20:12:24 - OsmGtRoads - INFO : NominatimApi: Query 200:OK in 0.29 sec. 2022-05-21 20:12:26 - OsmGtRoads - INFO : OverpassApi: Query 200:OK in 1.47 sec. 2022-05-21 20:12:26 - OsmGtRoads - INFO : Rebuild network data 2022-05-21 20:12:26 - OsmGtRoads - INFO : Network cleaning... 2022-05-21 20:12:26 - OsmGtRoads - INFO : Starting: Adding new nodes on the network 2022-05-21 20:12:26 - OsmGtRoads - INFO : Find nearest line for each node 2022-05-21 20:12:26 - OsmGtRoads - INFO : Split line 2022-05-21 20:12:26 - OsmGtRoads - INFO : Topology lines checker: to add: 314, to split: 309 2022-05-21 20:12:26 - OsmGtRoads - INFO : Starting: Find intersections 2022-05-21 20:12:26 - OsmGtRoads - INFO : Done: Find intersections 2022-05-21 20:12:26 - OsmGtRoads - INFO : Build lines 2022-05-21 20:12:27 - OsmGtRoads - INFO : Prepare GeoDataframe 2022-05-21 20:12:27 - OsmGtRoads - INFO : GeoDataframe Ready
| highway | lanes | maxspeed | name | oneway | ref | id | osm_url | topo_uuid | topology | ... | smoothness | turn:lanes | cycleway:both:lane | maxspeed:backward | maxspeed:forward | busway:right | cycleway:left:oneway | segregated | maxheight | geometry | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | primary | 2 | 50 | Rue de Charlieu | yes | D 482 | 24035569 | https://www.openstreetmap.org/way/24035569 | 1_forward | unchanged | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | LINESTRING (4.08544 46.05234, 4.08546 46.05248... |
| 1 | primary | NaN | 50 | Rue de Charlieu | yes | D 482 | 24035570 | https://www.openstreetmap.org/way/24035570 | 2_forward | unchanged | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | LINESTRING (4.09088 46.06633, 4.09084 46.06622... |
2 rows × 76 columns
CPU times: user 1.31 s, sys: 76 ms, total: 1.38 s Wall time: 3.48 s
%%time
layers_to_add = [
{
"input_gdf": roads_gdf,
"legend": "roads",
"color": "black",
},
{
"input_gdf": pois_gdf,
"legend": "POIs",
"color": "blue",
"size": 9
},
]
my_map = Gdf2Bokeh(
"My roads and POIs - from OsmGT (https://github.com/amauryval)",
layers=layers_to_add
)
# print(dir(my_map))
# print(my_map._Gdf2Bokeh__BOKEH_LAYER_CONTAINERS)
show(my_map.figure)
CPU times: user 2.62 s, sys: 50.3 ms, total: 2.67 s Wall time: 2.67 s
%%time
roads_topology_gdfs = roads_initialized.topology_checker()
lines_unchanged = roads_topology_gdfs["lines_unchanged"]
lines_added = roads_topology_gdfs["lines_added"]
lines_split = roads_topology_gdfs["lines_split"]
nodes_added = roads_topology_gdfs["nodes_added"]
intersections_added = roads_topology_gdfs["intersections_added"]
layers_to_add = [
{
"input_gdf": lines_unchanged,
"legend": "roads unchanged",
"color": "black",
},
{
"input_gdf": lines_added,
"legend": "roads added",
"color": "green",
},
{
"input_gdf": lines_split,
"legend": "roads split",
"color": "orange",
},
{
"input_gdf": intersections_added,
"legend": "Intersections added",
"color": "brown",
},
{
"input_gdf": nodes_added,
"legend": "Nodes added", # POIs here
"style": "square",
"color": "blue",
"size": 9
},
]
my_map = Gdf2Bokeh(
"Topology about my roads and POIs - from OsmGT (https://github.com/amauryval)",
layers=layers_to_add
)
show(my_map.figure)
2022-05-21 20:12:30 - OsmGtRoads - INFO : Prepare topology data 2022-05-21 20:12:30 - OsmGtRoads - INFO : GeoDataframe Ready
CPU times: user 3.97 s, sys: 30.5 ms, total: 4 s Wall time: 4 s
%%time
graph = roads_initialized.get_graph()
# a plot method has been added on OsmGT.
graph.plot()
2022-05-21 20:12:34 - OsmGtRoads - INFO : Prepare graph 2022-05-21 20:12:35 - OsmGtRoads - INFO : Graph to image
CPU times: user 19.7 s, sys: 25.8 ms, total: 19.8 s Wall time: 11.4 s
%%time
# now, we have to define a start point and a end point and get their wkt
start_node_topo_uuid = 47
end_node_topo_uuid = 63
# 'topo_uuid' is generated by osmgt (during the topology processing).
# Some roads has been split that's whyso this id has been created.
start_node_gdf = pois_gdf[pois_gdf['topo_uuid'] == start_node_topo_uuid]
end_node_gdf = pois_gdf[pois_gdf['topo_uuid'] == end_node_topo_uuid]
start_node_wkt = start_node_gdf.iloc[0]["geometry"].wkt
end_node_wkt = end_node_gdf.iloc[0]["geometry"].wkt
# the graph have some methods (graph-tools method always exists!) to find egdes, vertices... Let's use the .find_vertex_from_name(). the wkt is the vertex name...
source_vertex = graph.find_vertex_from_name(start_node_wkt)
target_vertex = graph.find_vertex_from_name(end_node_wkt)
# shortest path computing...
path_vertices, path_edges = shortest_path(
graph,
source=source_vertex,
target=target_vertex,
weights=graph.edge_weights # weigth is based on line length
)
# get path by using edge names
roads_ids = [
graph.edge_names[edge]
for edge in path_edges
]
roads_gdf_copy = roads_gdf.copy(deep=True)
shortest_path_found = roads_gdf_copy[roads_gdf['topo_uuid'].isin(roads_ids)].to_crs(3857)['geometry'].to_list()
shortest_path_found_gdf = gpd.GeoDataFrame(index=[0], crs="EPSG:3857", geometry=[linemerge(shortest_path_found)])
layers_to_add = [
{
"input_gdf": shortest_path_found_gdf,
"legend": "shortest_path",
"color": "red",
"line_width": 5
},
{
"input_gdf": start_node_gdf,
"legend": "source node",
"color": "blue",
"style": "circle",
"size": 9
},
{
"input_gdf": end_node_gdf,
"legend": "target node",
"color": "green",
"style": "circle",
"size": 9
},
]
my_shortest_path_map = Gdf2Bokeh(
"My shortest path - from OsmGT (https://github.com/amauryval)",
layers=layers_to_add
)
show(my_shortest_path_map.figure)
CPU times: user 176 ms, sys: 3.99 ms, total: 180 ms Wall time: 180 ms
%%time
start_node_topo_uuid = 47
end_node_topo_uuid = 63
start_node_gdf = pois_gdf[pois_gdf['topo_uuid'] == start_node_topo_uuid]
end_node_gdf = pois_gdf[pois_gdf['topo_uuid'] == end_node_topo_uuid]
start_node = start_node_gdf.iloc[0]["geometry"]
end_node = end_node_gdf.iloc[0]["geometry"]
shortest_paths = OsmGt.shortest_path_from_location(
"Roanne",
[
(start_node, end_node),
(start_node, end_node), # duplicate pairs are cleaned
],
mode="pedestrian"
)
layers_to_add = [
{
"input_gdf": shortest_paths[["geometry"]],
"legend": "shortest_path",
"color": "red",
"line_width": 5
},
{
"input_gdf": start_node_gdf,
"legend": "source node",
"color": "blue",
"style": "circle",
"size": 9
},
{
"input_gdf": end_node_gdf,
"legend": "target node",
"color": "green",
"style": "circle",
"size": 9
},
]
my_shortest_path_map = Gdf2Bokeh(
"My shortest path - from OsmGT (https://github.com/amauryval)",
layers=layers_to_add
)
show(my_shortest_path_map.figure)
display(shortest_paths)
2022-05-21 20:12:45 - OsmGtShortestPath - INFO : Shortest path processing... 2022-05-21 20:12:45 - OsmGtShortestPath - INFO : From location: Roanne 2022-05-21 20:12:45 - OsmGtShortestPath - INFO : Loading data... 2022-05-21 20:12:46 - OsmGtShortestPath - INFO : NominatimApi: Query 200:OK in 0.27 sec. 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : OverpassApi: Query 200:OK in 3.93 sec. 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Rebuild network data 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Network cleaning... 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Starting: Adding new nodes on the network 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Find nearest line for each node 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Split line 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Topology lines checker: to add: 2, to split: 2 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Starting: Find intersections 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Done: Find intersections 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Build lines 2022-05-21 20:12:50 - OsmGtShortestPath - INFO : Prepare graph 2022-05-21 20:12:51 - OsmGtShortestPath - INFO : Prepare GeoDataframe 2022-05-21 20:12:51 - OsmGtShortestPath - INFO : GeoDataframe Ready 2022-05-21 20:12:51 - OsmGtShortestPath - INFO : Compute shortest path from 2902 to 2903 2022-05-21 20:12:51 - OsmGtShortestPath - INFO : Prepare GeoDataframe 2022-05-21 20:12:51 - OsmGtShortestPath - INFO : GeoDataframe Ready 2022-05-21 20:12:51 - OsmGtShortestPath - INFO : Prepare GeoDataframe 2022-05-21 20:12:51 - OsmGtShortestPath - INFO : GeoDataframe Ready
| source_node | target_node | osm_ids | osm_urls | geometry | id | |
|---|---|---|---|---|---|---|
| 0 | POINT (4.053432 46.024165) | POINT (4.0775424 46.046573) | 120171169, 120171186, 122371009, 122371019, 12... | https://www.openstreetmap.org/way/120171169, h... | LINESTRING (4.05343 46.02417, 4.05338 46.02393... | 0 |
CPU times: user 1.62 s, sys: 44.6 ms, total: 1.67 s Wall time: 6.23 s
%%time
topo_uuids_poi = [99, 167, 188]
source_nodes = pois_gdf[pois_gdf['topo_uuid'].isin(topo_uuids_poi)]
# 2 = 2 min ; 5 = 5 min ; 10 = 10 min
isochrones_polygon_values = {
1: "#d9ef8b",
5: "#fee08b",
10: "#f46d43"
}
isochrones_lines_values = {
1: "#668100",
5: "#e2a803",
10: "#962603"
}
trip_speed = 0.5 # km/h
location_points = list(source_nodes["geometry"])
# location_points.extend(location_points)
isochrones_polygons, isochrones_lines = OsmGt.isochrone_times_from_nodes(
location_points,
list(isochrones_polygon_values.keys()),
trip_speed,
mode="pedestrian"
)
isochrones_polygons["color"] = isochrones_polygons["iso_name"].map(lambda x: isochrones_polygon_values[x])
isochrones_lines["color"] = isochrones_lines["iso_name"].map(lambda x: isochrones_lines_values[x])
layers_to_add = [
{
"input_gdf": source_nodes,
"legend": "Source nodes",
"style": "circle",
"color": "red",
"size": 5
},
{
"input_gdf": isochrones_polygons,
"legend": "iso_name",
"fill_color": "color",
"line_color": "color",
"fill_alpha": 0.5
},
{
"input_gdf": isochrones_lines,
"legend": "iso_name",
"color": "color",
"line_width": 2
},
]
my_shortest_path_map = Gdf2Bokeh(
"Isochrones from times - from OsmGT (https://github.com/amauryval)",
layers=layers_to_add
)
show(my_shortest_path_map.figure)
print("\nIsochrones polygons output")
display(isochrones_polygons)
print("\nIsochrones lines output")
display(isochrones_lines.head(2))
2022-05-21 20:12:51 - OsmGtIsochrone - INFO : Isochrone processing... 2022-05-21 20:12:51 - OsmGtIsochrone - INFO : From bbox: (4.065331739709741, 46.03137925848238, 4.076676960290258, 46.03862976056118) 2022-05-21 20:12:51 - OsmGtIsochrone - INFO : Loading data... 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : OverpassApi: Query 200:OK in 1.51 sec. 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Rebuild network data 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Network cleaning... 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Starting: Adding new nodes on the network 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Find nearest line for each node 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Split line 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Topology lines checker: to add: 3, to split: 3 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Starting: Find intersections 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Done: Find intersections 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Build lines 2022-05-21 20:12:53 - OsmGtIsochrone - INFO : Get water data from OSM 2022-05-21 20:12:59 - OsmGtIsochrone - INFO : OverpassApi: Query 200:OK in 5.92 sec. 2022-05-21 20:12:59 - OsmGtIsochrone - INFO : Prepare GeoDataframe 2022-05-21 20:12:59 - OsmGtIsochrone - INFO : GeoDataframe Ready 2022-05-21 20:12:59 - OsmGtIsochrone - INFO : Prepare graph 2022-05-21 20:13:01 - OsmGtIsochrone - INFO : Compute isochrone: 10 minutes => 84 meters 2022-05-21 20:13:01 - OsmGtIsochrone - INFO : Compute isochrone: 5 minutes => 42 meters 2022-05-21 20:13:01 - OsmGtIsochrone - INFO : Compute isochrone: 1 minutes => 9 meters 2022-05-21 20:13:03 - OsmGtIsochrone - INFO : GeoDataframe Ready
ERROR:bokeh.core.validation.check:E-1006 (NON_MATCHING_DATA_SOURCES_ON_LEGEND_ITEM_RENDERERS): LegendItem.label is a field, but renderer data sources don't match: LegendItem(id='1949', ...)
Isochrones polygons output
| iso_name | time_unit | iso_distance | distance_unit | geometry | id | color | |
|---|---|---|---|---|---|---|---|
| 0 | 10 | minutes | 84 | meters | POLYGON ((4.07251 46.03174, 4.07251 46.03174, ... | 0 | #f46d43 |
| 1 | 10 | minutes | 84 | meters | POLYGON ((4.06675 46.03669, 4.06668 46.03671, ... | 1 | #f46d43 |
| 2 | 10 | minutes | 84 | meters | POLYGON ((4.06533 46.03693, 4.06534 46.03694, ... | 2 | #f46d43 |
| 3 | 10 | minutes | 84 | meters | POLYGON ((4.07630 46.03804, 4.07623 46.03805, ... | 3 | #f46d43 |
| 4 | 5 | minutes | 42 | meters | POLYGON ((4.07176 46.03204, 4.07177 46.03204, ... | 4 | #fee08b |
| 5 | 5 | minutes | 42 | meters | POLYGON ((4.06638 46.03678, 4.06634 46.03680, ... | 5 | #fee08b |
| 6 | 5 | minutes | 42 | meters | POLYGON ((4.07567 46.03810, 4.07572 46.03823, ... | 6 | #fee08b |
| 7 | 1 | minutes | 9 | meters | POLYGON ((4.06633 46.03681, 4.06631 46.03684, ... | 7 | #d9ef8b |
| 8 | 1 | minutes | 9 | meters | POLYGON ((4.07181 46.03199, 4.07180 46.03201, ... | 8 | #d9ef8b |
| 9 | 1 | minutes | 9 | meters | POLYGON ((4.07571 46.03799, 4.07571 46.03798, ... | 9 | #d9ef8b |
Isochrones lines output
| highway | junction | name | source:name | id | osm_url | topo_uuid | topology | busway | maxspeed | ... | busway:right | cycleway:left:oneway | covered | footway | incline | maxheight | iso_name | iso_distance | geometry | color | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 105 | footway | NaN | NaN | NaN | 586846030 | https://www.openstreetmap.org/way/586846030 | 155_0105 | split | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | 10.0 | 84.0 | LINESTRING (4.06586 46.03674, 4.06587 46.03672... | #962603 |
| 106 | footway | NaN | NaN | NaN | 586846030 | https://www.openstreetmap.org/way/586846030 | 155_1106 | split | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | 10.0 | 84.0 | LINESTRING (4.06590 46.03665, 4.06591 46.03660) | #962603 |
2 rows × 48 columns
CPU times: user 4.01 s, sys: 357 ms, total: 4.37 s Wall time: 11.5 s
%%time
topo_uuids_poi = [99, 167, 188]
source_nodes = pois_gdf[pois_gdf['topo_uuid'].isin(topo_uuids_poi)]
# 2 = 2 min ; 5 = 5 min ; 10 = 10 min
isochrones_polygon_values = {
20: "#d9ef8b",
50: "#fee08b",
100: "#f46d43"
}
isochrones_lines_values = {
20: "#668100",
50: "#e2a803",
100: "#962603"
}
trip_speed = 3 # km/h
location_points = list(source_nodes["geometry"])
# location_points.extend(location_points)
isochrones_polygons, isochrones_lines = OsmGt.isochrone_distances_from_nodes(
location_points,
list(isochrones_polygon_values.keys()),
trip_speed,
mode="pedestrian"
)
isochrones_polygons["color"] = isochrones_polygons["iso_distance"].map(lambda x: isochrones_polygon_values[x])
isochrones_lines["color"] = isochrones_lines["iso_distance"].map(lambda x: isochrones_lines_values[x])
layers_to_add = [
{
"input_gdf": source_nodes,
"legend": "Source nodes",
"style": "circle",
"color": "red",
"size": 5
},
{
"input_gdf": isochrones_polygons,
"legend": "iso_name",
"fill_color": "color",
"line_color": "color",
"fill_alpha": 0.5
},
{
"input_gdf": isochrones_lines,
"legend": "iso_name",
"color": "color",
"line_width": 2
},
]
my_shortest_path_map = Gdf2Bokeh(
"Isochrones from times - from OsmGT (https://github.com/amauryval)",
layers=layers_to_add
)
show(my_shortest_path_map.figure)
print("\nIsochrones polygons output")
display(isochrones_polygons)
print("\nIsochrones lines output")
display(isochrones_lines.head(2))
2022-05-21 20:13:03 - OsmGtIsochrone - INFO : Isochrone processing... 2022-05-21 20:13:03 - OsmGtIsochrone - INFO : From bbox: (4.065144890130645, 46.031249535337075, 4.076863809869355, 46.03875946638327) 2022-05-21 20:13:03 - OsmGtIsochrone - INFO : Loading data... 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : OverpassApi: Query 200:OK in 0.6 sec. 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Rebuild network data 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Network cleaning... 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Starting: Adding new nodes on the network 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Find nearest line for each node 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Split line 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Topology lines checker: to add: 3, to split: 3 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Starting: Find intersections 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Done: Find intersections 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Build lines 2022-05-21 20:13:04 - OsmGtIsochrone - INFO : Get water data from OSM 2022-05-21 20:13:11 - OsmGtIsochrone - INFO : OverpassApi: Query 200:OK in 6.76 sec. 2022-05-21 20:13:11 - OsmGtIsochrone - INFO : Prepare GeoDataframe 2022-05-21 20:13:11 - OsmGtIsochrone - INFO : GeoDataframe Ready 2022-05-21 20:13:11 - OsmGtIsochrone - INFO : Prepare graph 2022-05-21 20:13:13 - OsmGtIsochrone - INFO : Compute isochrone: 2.0 minutes => 100 meters 2022-05-21 20:13:13 - OsmGtIsochrone - INFO : Compute isochrone: 1.0 minutes => 50 meters 2022-05-21 20:13:13 - OsmGtIsochrone - INFO : Compute isochrone: 0.4 minutes => 20 meters 2022-05-21 20:13:14 - OsmGtIsochrone - INFO : GeoDataframe Ready
ERROR:bokeh.core.validation.check:E-1006 (NON_MATCHING_DATA_SOURCES_ON_LEGEND_ITEM_RENDERERS): LegendItem.label is a field, but renderer data sources don't match: LegendItem(id='2190', ...)
Isochrones polygons output
| iso_name | time_unit | iso_distance | distance_unit | geometry | id | color | |
|---|---|---|---|---|---|---|---|
| 0 | 2.0 | minutes | 100 | meters | POLYGON ((4.07270 46.03169, 4.07271 46.03169, ... | 0 | #f46d43 |
| 1 | 2.0 | minutes | 100 | meters | POLYGON ((4.06690 46.03666, 4.06690 46.03666, ... | 1 | #f46d43 |
| 2 | 2.0 | minutes | 100 | meters | POLYGON ((4.07640 46.03800, 4.07576 46.03795, ... | 2 | #f46d43 |
| 3 | 1.0 | minutes | 50 | meters | POLYGON ((4.07162 46.03201, 4.07166 46.03204, ... | 3 | #fee08b |
| 4 | 1.0 | minutes | 50 | meters | POLYGON ((4.06688 46.03666, 4.06689 46.03666, ... | 4 | #fee08b |
| 5 | 1.0 | minutes | 50 | meters | POLYGON ((4.06645 46.03676, 4.06644 46.03677, ... | 5 | #fee08b |
| 6 | 1.0 | minutes | 50 | meters | POLYGON ((4.06620 46.03692, 4.06622 46.03692, ... | 6 | #fee08b |
| 7 | 1.0 | minutes | 50 | meters | POLYGON ((4.07573 46.03835, 4.07581 46.03832, ... | 7 | #fee08b |
| 8 | 0.4 | minutes | 20 | meters | POLYGON ((4.06634 46.03680, 4.06624 46.03682, ... | 8 | #d9ef8b |
| 9 | 0.4 | minutes | 20 | meters | POLYGON ((4.07180 46.03192, 4.07176 46.03197, ... | 9 | #d9ef8b |
| 10 | 0.4 | minutes | 20 | meters | POLYGON ((4.07568 46.03806, 4.07568 46.03807, ... | 10 | #d9ef8b |
Isochrones lines output
| highway | maxspeed | name | oneway | id | osm_url | topo_uuid | topology | junction | source:name | ... | busway:right | cycleway:left:oneway | covered | footway | incline | maxheight | iso_name | iso_distance | geometry | color | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5 | tertiary | 30 | Rue Diderot | yes | 179152153 | https://www.openstreetmap.org/way/179152153 | 1045 | unchanged | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | 2.0 | 100.0 | LINESTRING (4.07514 46.03849, 4.07496 46.03847) | #962603 |
| 7 | residential | 30 | Rue Diderot | yes | 179152367 | https://www.openstreetmap.org/way/179152367 | 105_07 | split | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | 1.0 | 50.0 | LINESTRING (4.07601 46.03819, 4.07590 46.03823... | #e2a803 |
2 rows × 49 columns
CPU times: user 3.87 s, sys: 39.9 ms, total: 3.91 s Wall time: 11.2 s